A Histogram-Based Fast Enhancement Algorithm for CT Head Images

In this paper, we propose a new, fast image enhancement algorithm based on histogram equalization. The new algorithm uses full range of possible gray levels to specially enhance local interested areas, which has much improved the water-washed effect on enhanced CT head images caused by conventional histogram equalization algorithms. Compared with other histogram equalization based image enhancement algorithms, which are usually localized and can improve enhancement results in interested areas but involved huge calculations, the new proposed algorithm has much less algorithm complexity. The new algorithm is easy to implement and fast to get the results. The experiment results in this paper demonstrate the superiority of the proposed algorithm, not only in the performance speed but also in the enhancement results.